Friends along supply chain and relationship-specific investments

Luo, Ting; Yu, Jianqiao

doi:10.1007/s11156-018-0770-1

Cited by 9 publications

(2 citation statements)

References 62 publications

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“…Second, and more importantly, school ties could make private communication more credible. Prior research suggests that school ties can help discourage non-cooperative and opportunistic behaviour in supply chain relationships (Luo & Yu, 2019). The value of social networks often encourages individuals in the same network to be faithful to each other, and individuals face high reputation cost if they conduct opportunistic acts (Elster, 1989;Uzzi, 1996).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Top executives’ school-tie connections and management forecast disclosure

Luo

2020

China Journal of Accounting Studies

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This paper investigates whether top executives' dependence on social connections has an impact on the information environment of listed companies. Specifically, this paper explores the role of school ties between firms' and suppliers' top executives on management earnings forecasts, an important channel of public information disclosure. We find a negative relation between a firm's school ties with its suppliers and the likelihood/frequency to issue management forecasts, indicating that top executives' school ties in a way substitute management forecasts and become the information channel along the supply chain. Further, we find the association is stronger when the firm faces higher proprietary cost or operational uncertainty, but the association becomes weaker when suppliers have bargaining advantage over the firm. Finally, we find the decrease in management forecast disclosure driven by school-tie connections weakens the access of firm-specific information for external information users, which may put individual investors in a more vulnerable position.

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Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Top executives’ school-tie connections and management forecast disclosure

Luo

2020

China Journal of Accounting Studies

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“…Introducing path traversal patterns mining algorithms to knowledge graph promotes efficiency. For instance, in a knowledge graph of investor relations researchers use frequent supply chain partners to analyze the cause of relationship-specific asset [19]. Path traversal patterns mining algorithms could help obtain possible passes from data compression graph [23].…”

Section: Introductionmentioning

confidence: 99%

Mining Simple Path Traversal Patterns in Knowledge Graph

Xiong

Wang

2022

JWE

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The data mining has remained a subject of unfailing charm for research. The knowledge graph is rising and showing infinite life force and strong developing potential in recent years, where it is observed that acyclic knowledge graph has capacity for enhancing usability. Though the development of knowledge graphs has provided an ample scope for appearing the abilities of data mining, related researches are still insufficient. In this paper, we introduce path traversal patterns mining to knowledge graph. We design a novel simple path traversal pattern mining framework for improving the representativeness of result. A divide-and-conquer approach of combining each path is proposed to discover the most frequent traversal patterns in knowledge graph. To support the algorithm, we design a linked list structure indexed by the length of sequences with handy operations. The correctness of algorithm is proven. Experiments show that our algorithm reaches a high coverage with low output amounts compared to existing frequent sequence mining algorithms.

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Optimization of supply chain efficiency management based on machine learning and neural network

Han

Zhang

2020

Neural Comput & Applic

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Friends along supply chain and relationship-specific investments

Cited by 9 publications

References 62 publications

Top executives’ school-tie connections and management forecast disclosure

Top executives’ school-tie connections and management forecast disclosure

Mining Simple Path Traversal Patterns in Knowledge Graph

Optimization of supply chain efficiency management based on machine learning and neural network

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